1. Active cellulose acetate/chitosan composite films prepared using solution blow spinning: structure and electrokinetic propertiesAna Kramar, Thomas Luxbacher, Nasrin Moshfeghi Far, Javier González-Benito, 2023, izvirni znanstveni članek Ključne besede: cellulose acetate, chitosan, solution blow spinning, protein adsorption, food packaging
Objavljeno v DKUM: 10.04.2024; Ogledov: 251; Prenosov: 19
 Celotno besedilo (4,04 MB)
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2. Solution blow co-spinning of cellulose acetate with poly(ethylene oxide). Structure, morphology, and properties of nanofibersAna Kramar, Thomas Luxbacher, Javier González-Benito, 2023, izvirni znanstveni članek Ključne besede: cellulose acetate, solution blow spinning, co-spinning, zeta potential
Objavljeno v DKUM: 09.04.2024; Ogledov: 163; Prenosov: 22
Celotno besedilo (10,89 MB)
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3. New perspectives for computer-aided discrimination of Parkinson's disease and essential tremorPetra Povalej Bržan, J.A. Gallego, J. P. Romero, Vojko Glaser, E. Rocon, Julián Benito-León, Félix Bermejo-Pareja, Ignacio Posada, Aleš Holobar, 2017, izvirni znanstveni članek Opis: Pathological tremor is a common but highly complex movement disorder, affecting ~5% of population older than 65 years. Different methodologies have been proposed for its quantification. Nevertheless, the discrimination between Parkinson's disease tremor and essential tremor remains a daunting clinical challenge, greatly impacting patient treatment and basic research. Here, we propose and compare several movement-based and electromyography-based tremor quantification metrics. For the latter, we identified individual motor unit discharge patterns from high-density surface electromyograms and characterized the neural drive to a single muscle and how it relates to other affected muscles in 27 Parkinson's disease and 27 essential tremor patients. We also computed several metrics from the literature. The most discriminative metrics were the symmetry of the neural drive to muscles, motor unit synchronization, and the mean log power of the tremor harmonics in movement recordings. Noteworthily, the first two most discriminative metrics were proposed in this study. We then used decision tree modelling to find the most discriminative combinations of individual metrics, which increased the accuracy of tremor type discrimination to 94%. In summary, the proposed neural drive-based metrics were the most accurate at discriminating and characterizing the two most common pathological tremor types.
Ključne besede: Parkinson's disease, essential tremor, electromyography, wrist movements, motor units, muscular excitation, decision tree
Objavljeno v DKUM: 03.11.2017; Ogledov: 1699; Prenosov: 434
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4. Quantifying soil complexity using network models of soil porous structureMarko Samec, A. Santiago, J. P. Cardenas, R. M. Benito, A. M. Tarquis, Sacha Jon Mooney, Dean Korošak, 2013, izvirni znanstveni članek Opis: This paper describes an investigation into the properties of spatially embedded complex networks representing the porous architecture of soil systems. We suggest an approach to quantify the complexity of soil pore structure based on the node-node link correlation properties of the networks. We show that the complexity depends on the strength of spatial embedding of the network and that this is related to the transition from a non-compact to compact phase of the network.
Ključne besede: soil complexity, soil pore networks, complex systems
Objavljeno v DKUM: 21.07.2017; Ogledov: 1476; Prenosov: 339
Celotno besedilo (3,85 MB)
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